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PLACE: an open-source python package for laboratory automation, control, and experimentation.

Jami L Johnson¹, Henrik Tom Wörden², Kasper van Wijk³

¹Department of Physics, University of Auckland, Auckland, New Zealand jami.johnson@auckland.ac.nz.

Journal of Laboratory Automation

|October 12, 2014

Summary

This summary is machine-generated.

We developed PLACE, an open-source Python package for laboratory automation, control, and experimentation. PLACE offers a flexible, extensible solution for reliable data acquisition, processing, and analysis in diverse lab settings.

Keywords:

Python laboratory automation laser ultrasound open source

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Area of Science:

Scientific Computing
Laboratory Automation
Experimental Design

Background:

Modern laboratories increasingly rely on software for end-to-end experimental workflows, from data acquisition to analysis.
Key considerations for laboratory automation include reliability, implementation time, adaptability, and software compatibility.
Existing automation solutions may lack flexibility or extensibility for diverse research needs.

Purpose of the Study:

To introduce PLACE (Python package for Laboratory Automation, Control, and Experimentation), an open-source software solution.
To provide a flexible and extensible framework for automating laboratory experiments.
To demonstrate seamless integration with post-processing and analysis tools.

Main Methods:

Development of a modular and extensible Python package named PLACE.
Implementation of clear design principles for ease of customization and expansion.
Application of PLACE to automate laser-ultrasound experiments, including data handling.
Creation of a dedicated analysis module for PLACE-generated data.

Main Results:

PLACE provides a robust framework for laboratory automation, control, and experimentation.
The package's modular design allows for easy adaptation to various laboratory requirements.
Successful demonstration of PLACE in automating laser-ultrasound experiments.
Seamless data transfer from PLACE automation to Python-based post-processing and analysis.

Conclusions:

PLACE offers a flexible, open-source solution for enhancing laboratory automation.
The package facilitates reliable data acquisition, processing, and analysis.
PLACE enables efficient integration of experimental automation with downstream data analysis workflows.